Eitan Gerber
MSc Student, eNaBLe Lab
🎓 Technion — Israel Institute of Technology
Studying how humans move and how machines can predict it — combining gaze tracking, sEMG, and deep learning to build smarter assistive systems.
The person behind the research
I am an MSc student in the Faculty of Mechanical Engineering at the Technion — Israel Institute of Technology, where I work on understanding and predicting human upper-limb motion using multimodal sensing. My research lies at the intersection of biomedical engineering, machine learning, and human-robot interaction.
My current project focuses on forecasting 3D hand and arm kinematics in real time by fusing high-frequency surface EMG with gaze data and positional markers. I build hybrid deep-learning architectures (CNN + GRU) designed to run causally, making them suitable for deployment in assistive robotics and prosthetics.
Outside the lab, I enjoy photography — particularly wildlife — and I believe that careful observation, whether through a camera lens or a sensor array, is the foundation of good science.
What you'll find here
Conference publications, posters, and abstracts from my work on motion prediction, sensor fusion, and assistive robotics.
A curated selection of my favorite photographs — moments and scenes that caught my eye through the viewfinder.
Want to collaborate, ask a question, or just say hello? Find me across the web.
Interactive web-based simulations, control experiments, and robotics tools.